4.6 Article

Ultra-mutated colorectal cancer patients with POLE driver mutations exhibit distinct clinical patterns

Journal

CANCER MEDICINE
Volume 10, Issue 1, Pages 135-142

Publisher

WILEY
DOI: 10.1002/cam4.3579

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Funding

  1. National High Technology Research and Development Program of China [2012AA02A204]
  2. National Key R&D Program of China [2017YFC0908200]
  3. National Science Fund China [U1804262]
  4. Fundamental Research Funds for the Central Universities [2019FZJD009]

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POLE driver mutations in colorectal cancer show a lower prevalence but higher mutation burden, with specific clinical patterns where the majority of patients are younger and at an early disease stage, and predominantly male.
POLE mutations, which lead to an ultramutated phenotype in colorectal cancer (CRC), have been reported as a promising marker in immunotherapy. We performed sequencing of CRC cases in Zhejiang University (ZJU) and extracted obtainable data from recently published results, including The Cancer Genome Atlas (TCGA), Japanese studies and clinical trials, to present clinical patterns of POLE driver-mutated CRC and reveal its heterogeneity. The rate of somatic POLE driver mutations has been reported as 2.60% (ZJU cohort), 1.50% (TCGA cohort), 1.00% (Japan cohort), and 1.00% (Lancet cohort). POLE driver mutations show a clearly increased mutation burden (mean TMB: 217.98 mut/Mb in ZJU; 203.13 mut/Mb in TCGA). Based on pooled data, more than 70.00% of patients with POLE driver mutations were diagnosed before they were 55 years old and at an early disease stage (Stage 0-II >70.00%), and more than 70.00% were male. Among Asian patients, 68.40% developed POLE driver mutations in the left-side colon, whereas 64.00% of non-Asian patients developed them in the right-side colon (p < 0.01). The top three amino acid changes due to POLE driver mutations are P286R, V411L, and S459F. Investigators and physicians should ascertain the heterogeneity and clinical patterns of POLE driver mutations to be better equipped to design clinical trials and analyze the data.

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